{"id":"https://openalex.org/W2121818297","doi":"https://doi.org/10.1109/fuzzy.2009.5277309","title":"Fingerprint classification using the stochastic approach of ridge direction information","display_name":"Fingerprint classification using the stochastic approach of ridge direction information","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2121818297","doi":"https://doi.org/10.1109/fuzzy.2009.5277309","mag":"2121818297"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2009.5277309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086128007","display_name":"Hye-Wuk Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hye-Wuk Jung","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Sungkyunkwan University, South Korea","Department of Electrical and Computer Engineering , SungKyunKwan University , Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University, South Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering , SungKyunKwan University , Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067651075","display_name":"Jee-Hyong Lee","orcid":"https://orcid.org/0000-0001-7242-7677"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jee-Hyong Lee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Sungkyunkwan University, South Korea","Department of Electrical and Computer Engineering , SungKyunKwan University , Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University, South Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering , SungKyunKwan University , Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086128007"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":1.7623,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.84447301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"169","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.8920257091522217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7173322439193726},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6600343585014343},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6545534133911133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6391060948371887},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.6218699216842651},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6139392852783203},{"id":"https://openalex.org/keywords/ridge","display_name":"Ridge","score":0.498577356338501},{"id":"https://openalex.org/keywords/whorl","display_name":"Whorl (mollusc)","score":0.4626627266407013},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41461852192878723},{"id":"https://openalex.org/keywords/fingerprint-verification-competition","display_name":"Fingerprint Verification Competition","score":0.4100533723831177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18283820152282715},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08897316455841064},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06516480445861816}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8920257091522217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7173322439193726},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6600343585014343},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6545534133911133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6391060948371887},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.6218699216842651},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6139392852783203},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.498577356338501},{"id":"https://openalex.org/C6702695","wikidata":"https://www.wikidata.org/wiki/Q7997649","display_name":"Whorl (mollusc)","level":3,"score":0.4626627266407013},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41461852192878723},{"id":"https://openalex.org/C164995936","wikidata":"https://www.wikidata.org/wiki/Q5450283","display_name":"Fingerprint Verification Competition","level":4,"score":0.4100533723831177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18283820152282715},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08897316455841064},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06516480445861816},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C157369684","wikidata":"https://www.wikidata.org/wiki/Q34740","display_name":"Genus","level":2,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2009.5277309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1528653255","https://openalex.org/W1534649803","https://openalex.org/W1603495404","https://openalex.org/W1639795441","https://openalex.org/W1984261871","https://openalex.org/W2014470493","https://openalex.org/W2124874699","https://openalex.org/W2137273147","https://openalex.org/W2142481374","https://openalex.org/W2150945320","https://openalex.org/W4248506240"],"related_works":["https://openalex.org/W2124383217","https://openalex.org/W2025488734","https://openalex.org/W1603121771","https://openalex.org/W2626036292","https://openalex.org/W1491020172","https://openalex.org/W1606067663","https://openalex.org/W2355869368","https://openalex.org/W1838284883","https://openalex.org/W2062185299","https://openalex.org/W2732169752"],"abstract_inverted_index":{"Large":[0],"scale,":[1],"automatic":[2,74],"fingerprint":[3,8,20,75,98,112,130,165],"identification":[4],"systems":[5,43,76,90],"(AFISs)":[6],"perform":[7],"classification":[9,161],"to":[10,109,144,159],"improve":[11],"matching":[12,17],"accuracy":[13],"and":[14,37,64,95,138],"reduce":[15],"the":[16,49,88,111,119,129,146,152,156,160],"time":[18],"before":[19],"matching.":[21],"Fingerprints":[22],"are":[23,84],"classified":[24],"into":[25],"several":[26],"classes":[27],"such":[28],"as":[29,70],"arch":[30],"(A),":[31],"whorl":[32],"(W),":[33],"left":[34],"loop":[35,39],"(L)":[36],"right":[38],"(L).":[40],"The":[41],"existing":[42],"generally":[44],"classify":[45],"fingerprints":[46,60],"based":[47,127],"on":[48,128],"information":[50],"of":[51,118,133,148,154,162],"singular":[52,82],"points.":[53],"This":[54],"approach":[55,106,126],"is":[56,68,107,116,123],"well":[57,85],"suited":[58],"for":[59],"acquired":[61],"using":[62],"paper":[63],"ink.":[65],"However,":[66],"it":[67,78],"not":[69],"efficient":[71],"with":[72],"recent":[73,89],"because":[77],"cannot":[79],"guarantee":[80],"that":[81],"points":[83],"extracted":[86],"since":[87],"have":[91],"various":[92,163],"sized":[93],"sensors":[94],"use":[96,110],"multifarious":[97],"acquisition":[99],"methods.":[100],"In":[101],"this":[102],"paper,":[103],"a":[104,124],"novel":[105],"proposed":[108],"ridge":[113,131],"direction,":[114],"which":[115],"one":[117],"global":[120],"features.":[121],"It":[122],"probabilistic":[125,157],"characteristics":[132],"each":[134],"class.":[135],"FVC2000":[136],"DB1":[137,140],"FVC2002":[139],"databases":[141],"were":[142],"used":[143],"evaluate":[145],"performance":[147],"our":[149],"classification.":[150],"Furthermore,":[151],"effectiveness":[153],"applying":[155],"model":[158],"exceptional":[164],"patterns":[166],"was":[167],"verified.":[168]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
